This volume offers a comprehensive exploration of prevalent cancers and the innovative modeling techniques driving advancements in treatment strategies. In today’s landscape of cancer research and therapeutic development, understanding the complexities of cancer biology and translating these insights into effective treatments is paramount. This book fills a crucial gap in the literature by providing a detailed examination of the diverse modeling approaches utilized in the study of prevalent cancers, including breast, lung, colorectal, prostate, ovarian, and melanoma.
Key Features
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Dr. Yash Sharma is Assistant Professor in Department of Biotechnology, IILM University, Greater Noida, Uttar Pradesh, India. He has enriched academic and research experience of 7 years. After M. tech, He worked as JRF & SRF in DST SERB Funded Project "Formulation of Tobacco Stem Bioactive Compound Loaded Nanoparticle for Wound Healing" at Amity University, Noida. During his Ph. D, He was awarded ICMR-SRF fellowship on a Project entitled "Anticancer activity of Seed Cake Extract of O. Sanctum against OSCC Cell Line and It's Tumor Suppressor Gene Analysis". He is experienced researcher focused on drug discovery and pre-clinical studies on cell lines and in vivo models.
Prof. (Dr.) Kumud Bala is currently working as Professor at Amity Institute of Biotechnology and Deputy Dean of Student welfare at Amity University Uttar Pradesh, Noida. She attained her Ph.D. degree from Patna University and her area of expertise is Cancer Immunology, Pharmacology, Plant Phytochemistry, Clinical Microbiology, Neuroendocrinology, Therapeutics, and Molecular Diagnostics. She has more than 27 years of teaching and research experience. She has published more than 50 Publications including Research Papers, Review Articles, Books & Book Chapters in Scopus-indexed and peer-reviewed journals of High impact. Currently, she is running more than 4 Government funded projects and completed 2 projects funded by ICMR & DST.
Mr. Sudhir Kumar Pal is an Assistant Professor in School of Engineering at IILM University, Greater Nodia. He is pursuing PhD from VIT, Vellore and completed his Masters as a Bioinformatician from DY Patil University, Navi Mumbai and Bachelors with a specialization in Biotechnology from AAIDU, Prayagraj. During all his academic career, he has gained specialization in the field of Structural Biology and Bioinformatics. He also has two years of research experience from foreign universities like University of South Bohemia and Masaryk University.
Dr. Monu Monu is an Assistant Professor in the Department of Biotechnology at IILM, University, Greater Noida, and holds a Ph.D. in Biological Science from the CSIR-Institute of Genomics and Integrative Biology, Delhi, India. His research focuses on identifying disease-associated specific proteins to understand rheumatoid arthritis (RA) pathogenesis and to develop diagnosis methods. After completing his M.Tech in Biotechnology, he has significantly contributed to multiple CSIR, ICMR, and DST-funded projects covering diverse topics such as SARS-CoV-2 ocular infections, arthritis, cardiovascular disease, and mycobacterium tuberculosis.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This volume offers a comprehensive exploration of prevalent cancers and the innovative modeling techniques driving advancements in treatment strategies. In todays landscape of cancer research and therapeutic development, understanding the complexities of cancer biology and translating these insights into effective treatments is paramount. This book fills a crucial gap in the literature by providing a detailed examination of the diverse modeling approaches utilized in the study of prevalent cancers, including breast, lung, colorectal, prostate, ovarian, and melanoma.Key FeaturesThe book provides a thorough examination of prevalent cancers, ensuring a comprehensive understanding of their modelling approaches authoritative resource.By integrating insights from in vitro, in vivo, and computational modelling techniques, the book offers a holistic perspective on cancer research and therapeutic development.Goes beyond theoretical concepts to offer practical insights into translating scientific discoveries into clinical applications.Readers gain valuable knowledge on how modelling approaches inform personalized medicine, therapeutic interventions, and clinical decision-making.Explores future directions in the field, highlighting emerging technologies, innovative methodologies, and promising avenues for therapeutic innovation. In today's landscape of cancer research and therapeutic development, understanding the complexities of cancer biology and translating these insights into treatments is paramount. This book fills a crucial gap in the literature by providing an examination of the diverse Modeling approaches utilized in the study of prevalent cancers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032951386
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Hardcover. Etat : new. Hardcover. This volume offers a comprehensive exploration of prevalent cancers and the innovative modeling techniques driving advancements in treatment strategies. In todays landscape of cancer research and therapeutic development, understanding the complexities of cancer biology and translating these insights into effective treatments is paramount. This book fills a crucial gap in the literature by providing a detailed examination of the diverse modeling approaches utilized in the study of prevalent cancers, including breast, lung, colorectal, prostate, ovarian, and melanoma.Key FeaturesThe book provides a thorough examination of prevalent cancers, ensuring a comprehensive understanding of their modelling approaches authoritative resource.By integrating insights from in vitro, in vivo, and computational modelling techniques, the book offers a holistic perspective on cancer research and therapeutic development.Goes beyond theoretical concepts to offer practical insights into translating scientific discoveries into clinical applications.Readers gain valuable knowledge on how modelling approaches inform personalized medicine, therapeutic interventions, and clinical decision-making.Explores future directions in the field, highlighting emerging technologies, innovative methodologies, and promising avenues for therapeutic innovation. In today's landscape of cancer research and therapeutic development, understanding the complexities of cancer biology and translating these insights into treatments is paramount. This book fills a crucial gap in the literature by providing an examination of the diverse Modeling approaches utilized in the study of prevalent cancers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032951386
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